Focus
- cascadeflow describes itself as "The runtime intelligence layer for AI agents. Govern cost, quality, latency, compliance, and more: inside the agent loop".[5]
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cascadeflow
cascadeflow is the agent runtime intelligence layer. We sit inside AI agent execution and optimize every decision — model calls, tool calls, sub-agent handoffs — across cost, latency, quality, compliance, and energy. Not a router. Not a proxy. A governance system inside the loop. How it works: cascadeflow starts with efficient models, validates quality during generation, and escalates only when needed. Four enforcement actions — allow, switch_model, deny_tool, stop — give you direct control ov[1][2]